@inproceedings{fbb88aee43f7468e8952821cfa65bec5,
title = "Classification of classic Turkish music makams",
abstract = "In this work, Classical Turkish Music songs are classified into six makams. Makam is a modal framework for melodic development in Classical Turkish Music. The effect of the sound clip length on the system performance was also evaluated. The Mel Frequency Cepstral Coefficients (MFCC) were used as features. Obtained data were classified by using Probabilistic Neural Network. The best correct recognition ratio was obtained as 89,4\% by using a clip length of 6 s.",
keywords = "Mel Frequency Cepstral Coefficients (MFCC), Probabilistic Neural Network (PNN), musical information retrieval",
author = "Kizrak, \{M. Ayy{\"u}ce\} and Bayram, \{K. Sercan\} and B{\"u}lent Bolat",
year = "2014",
doi = "10.1109/INISTA.2014.6873650",
language = "English",
isbn = "9781479930197",
series = "INISTA 2014 - IEEE International Symposium on Innovations in Intelligent Systems and Applications, Proceedings",
publisher = "IEEE Computer Society",
pages = "394--397",
booktitle = "INISTA 2014 - IEEE International Symposium on Innovations in Intelligent Systems and Applications, Proceedings",
address = "United States",
note = "2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2014 ; Conference date: 23-06-2014 Through 25-06-2014",
}